Qingyong Hu
17 papers · 2019–2026 · 5 conferences · across top CS/AI conferences
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ECCV (3)
NIPS (2)
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point cloud
(3)
neural network
(3)
semantic segmentation
(3)
object detection
(2)
3d vision
(2)
instance segmentation
(2)
3d object detection
(2)
large language model
(2)
point cloud processing
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point cloud registration
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temporal modeling
(1)
uncertainty quantification
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backdoor defense
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attention mechanism
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action recognition
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representation learning
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feature embedding
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sparse representation
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cross-modal learning
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scene understanding
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Papers
Efficient Hallucination Detection: Adaptive Bayesian Estimation of Semantic Entropy with Guided Semantic Exploration
AAAI 2026
Period-LLM: Extending the Periodic Capability of Multimodal Large Language Model
CVPR 2025
Learning Coupled Dictionaries from Unpaired Data for Image Super-Resolution
CVPR 2024
ACRF: Compressing Explicit Neural Radiance Fields via Attribute Compression
ICLR 2024
Backdoor Defense via Deconfounded Representation Learning
CVPR 2023
BUFFER: Balancing Accuracy, Efficiency, and Generalizability in Point Cloud Registration
CVPR 2023
No Pain, Big Gain: Classify Dynamic Point Cloud Sequences With Static Models by Fitting Feature-Level Space-Time Surfaces
CVPR 2022
3DAC: Learning Attribute Compression for Point Clouds
CVPR 2022
Meta-Sampler: Almost-Universal yet Task-Oriented Sampling for Point Clouds
ECCV 2022
SQN: Weakly-Supervised Semantic Segmentation of Large-Scale 3D Point Clouds
ECCV 2022
DevNet: Self-Supervised Monocular Depth Learning via Density Volume Construction
ECCV 2022
Not All Points Are Equal: Learning Highly Efficient Point-Based Detectors for 3D LiDAR Point Clouds
CVPR 2022
Hierarchical Graph Transformer with Adaptive Node Sampling
NIPS 2022
SpinNet: Learning a General Surface Descriptor for 3D Point Cloud Registration
CVPR 2021
Towards Semantic Segmentation of Urban-Scale 3D Point Clouds: A Dataset, Benchmarks and Challenges
CVPR 2021
RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds
CVPR 2020
Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds
NIPS 2019